Key Responsibilities

- Test Automation Architecture & Strategy Data pipelines (batch and streaming) APIs and backend services
- Data Testing Framework Engineering SQL based assertions and reconciliation Schema validation and evolution checks
- Brake Systems Proactively (Destructive Testing Mindset) Schema drift and backward incompatibility Late arriving data and partial failures
- ETL and Streaming Validation at Scale Row, aggregate, and hash-based reconciliation Incremental and backfill validation
- Data Quality & Observability Integration Great Expectations, Soda Accuracy, completeness, uniqueness, timeliness
- CI/CD & DataOps Enforcement Pre merge gates and release blockers Selective and parallel test execution
- Test Data Management Synthetic data generation Masking and anonymization
- Performance & Reliability Testing Pipeline and query performance benchmarks,



Concurrency and stress testing
- Security & Compliance Validation PII or PHI exposure, Encryption and access control
- Cross Functional Quality Leadership Work with data engineers, platform teams, and architects to embed quality early, Challenge poor design decisions that impact reliability
- Incident Analysis & Prevention Analyze production data issues and failure patterns, Reduce flaky tests and false alarms

Mandatory Skills

- Data Quality & Observability

Desired Skills

- Experience with API contract testing and tools like PACT
- Basic UI automation for end-to-end validation.
- Exposure to data mesh or data product architectures

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📌 Automation Engineer (Barcelona)
🏢 PURVIEW
📍 Barcelona